@chamii22
Account based inUnited States
About this account
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Building @NumbersStnAI, previously @StanfordAILab
Palo Alto, CA
Joined April 2018
- Tweets197
- Following668
- Followers2K
- Likes322
Ines Chami retweeted
Introducing Multilingual Voices
We partnered with Baklavastory, our neighbor in the Mission, to show what it sounds like when a business's character and warmth stay consistent, no matter who calls or what language they speak.
It's easy to translate speech, but much harder to preserve a single identity across languages. Every language has different rhythms, tones, and emphasis. When you change the language, identity tends to get lost in that shift, and your voice ends up sounding like someone else.
With Multilingual Voices, pick a voice and keep one brand identity in every market you serve: cartesia.ai/voices
Ines Chami retweeted
Agentic AI will transform every enterprise–but only if agents are trusted experts.
The key: Evaluation & tuning on specialized, expert data.
I’m excited to announce two new products to support this–@SnorkelAI Evaluate & Expert Data-as-a-Service–along w/ our $100M Series D!
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Snorkel Evaluate is our new data-centric agentic AI evaluation platform for specialized, mission-critical enterprise settings where vibe checks and out-of-the-box metrics driven by simple LLM prompts are not enough.
Snorkel Expert Data-as-a-Service is our white glove service for expert-level AI datasets, powering frontier LLM developers in areas like expert knowledge, reasoning, agentic action and tool use, and more!
Both built on top of @SnorkelAI’s Data Development Platform, using our programmatic technology to drive higher-quality expert data, faster– for getting specialized AI to real production value.
If you’re building enterprise AI and want to partner around the key ingredient in AI today–the data–book a demo and let's talk! snorkel.ai/demo/
Finally, see thread for details on 🧵👇
- 📽️ A walkthrough of Snorkel Evaluate and Expert Data-as-a-Service on an agentic AI enterprise task
- 📅 An upcoming event on Enterprise Agentic AI with innovators from @Accenture @BNY @Comcast @Stanford @QBE & others
- 📊 An upcoming series of benchmark datasets and model artifact releases
👀 Want early access to the full agentic AI dataset? Retweet this post and we'll send you the link!
Excited to release our technical series on AI Agents, and the first blog on "How to build an AI agent" is out! Stay tuned for follow-up blogs
🚨 Learn How to Build an AI Agent; written by Co-founder & Chief Scientist @chamii22
linkedin.com/pulse/how-build…
Ines Chami retweeted
🚧 Construction logistics isn’t known for cutting-edge software—but @isheepdog is changing that.
By embedding Numbers Station directly into their product, brokers can instantly query their data using plain English and get real-time insights without waiting on a report or navigating a dashboard.
Our agents eliminated the bottlenecks of manual analysis, and gave their brokers something rare in construction logistics:
Speed, visibility, and confidence.
It’s a powerful example of what happens when traditional industries embrace modern data agents. 🚀
Ines Chami retweeted
March Madness just tipped off—so we had a little fun and asked our agents to make sense of the data behind the madness. 🏀
We uploaded @EvanMiya’s advanced metrics (O-rating, D-rating, true tempo, 10-0s) into NS, and let our agents surface insights to help us make smarter picks.
In just seconds, we:
📂 Uploaded @EvanMiya’s CSV
📓 Asked in plain English
⚡ Got bracket-ready insights instantly
Use these insights to shape your bracket—and this time, know your picks are backed by advanced agents.
Because whether it’s March Madness or market strategy, smart decisions start with better analysis.
Need help with your bracket?
Grab the dataset in the thread ↓
Ines Chami retweeted
🚴🏻♂️ I love Strava. It keeps me motivated, helps me track my runs, and gives me a sense of progress. Being in the data industry, I wanted to see my metrics.
But after looking into the in-app analytics, I realized I had more questions than Strava could answer.
Strava has some summary stats, but I wanted to know more—so I exported my Strava data and uploaded it into Numbers Station.
In just a few minutes, I used plain English to analyze my training habits, create charts on-the-fly, and found cuts of data I hadn't found on Strava.
Our agents got to work, and I learned that:
🏃🏻 I ran 2,881 miles; 119 of those on a trail
🚴🏻♂️ My go-to exercise is running and the occasional riding
🗓️ I tend to exercise on Wednesdays
- David Kucher, Principal Engineer
🧵 Read about what other insights I found:
Ines Chami retweeted
🚀 OpenAI’s Response APIs + Numbers Station Agents
Numbers Station's extensible agent architecture means we can move fast. By integrating @OpenAI's newly released Response APIs, we show how we can seamlessly marry document agents with our structured data agents.
📂 Leverage documents to enhance answers with embedded insights
🔎 Agents use RAG to find relevant data
🔗 Bridge structured + unstructured data
Built for adaptability. Built for better insights.⚡
Ines Chami retweeted
Excited to partner with @NumbersStnAI to launch Model Switch! Powered by models hosted on Together AI, we're giving data teams the freedom to choose the most efficient open-source models for their AI-driven analytics.
2025 is the year of agents, and we're excited to see Numbers Station bring agents to structured data. 🚀📊
🚀 More Flexibility, More Choice: Introducing Model Switch with @togethercompute
We’re excited to partner with Together AI to bring more powerful models to Numbers Station.
🧠 Use your preferred model for chat and vision calls—like Llama 70B, Qwen 72B, and Deepseek (more on the way!)
🚀 Reduce costs & get faster responses—pick the best open-source model for your use case
🔓 No model lock-in—full flexibility as models evolve and emerge
Ines Chami retweeted
A sneak peek at Numbers Station Workflows.
🚀 Getting insights is just the start—true impact comes from automation.
Instead of answering the same questions over and over, Workflows automates analyses without you ever having to ask.
Setting up a Workflow is simple: 🧵
Ines Chami retweeted
The future isn’t about adding another BI tool to "wow" executives with a few new insights.
It’s about unifying what you already know and making it accessible and actionable at scale.
Only after unlocking 90% of already found insights does the last 10% of new insights matter.
Ines Chami retweeted
T-2 days to @APIWorld! 🎯
We are excited to welcome @JLL's Amit Shah on stage for a live case study on how they supercharged their CRE analytics using Numbers Station's AI agents.
Tap into @JLL's implementation process and learn how to deploy production-ready AI agents.
📅 Nov 7, 11:30am PT
📍 Santa Clara Convention Center
Ines Chami retweeted
We love a good crossover 🥰
Join @NumbersStnAI's Chief Scientist @chamii22 and @SambaNovaAI for an inside look into the mechanics behind hyper-specialized data agents and how they solve complex data tasks within enterprises.
Wednesday, Oct 9. 10am PT.
sambanova.ai/lp/how-speed-dr…
Ines Chami retweeted
Good morning, SF! 🌁 Kick off #SFTechWeek with a night of food, drinks & trivia 🥳 hosted by your friends at @NumbersStnAI, @SambaNovaAI, @tryramp and @togethercompute.
Test your AI knowledge and meet the minds shaping its future. Today, 5-9 PM. 🧠
partiful.com/e/lntnRVOSW51Ig…
We are over capacity, but will be admitting people off the waitlist throughout the day. RSVP now!
@a16z
Ines Chami retweeted
@NumbersStnAI empowers data analysts to query all their data sources via a conversational chat interface—unifying databases, dashboards, schemas, email, etc. to generate your insight.
Their analytics agents can be embedded into your customer-facing platform via API.
Ines Chami retweeted
Data is only as good as the story it tells.
But last week, I found a ridiculously easy way to pull out data insights
/🧵/
Ines Chami retweeted
Behind the curtains, they used @AnthropicAI's Claude, @langchain's LangGraph, @Firebase, @nextjs, and @midjourney.
Thank you @AnthropicAI @CopilotKit @AITinkerers for hosting!
geekwire.com/2024/the-winnin…
So excited to share a preview of our latest analytics agents working together! Most of our customers already have a BI stack in place, and NS leverages all the knowledge stored in dashboards, documentation or even chats to automate analytics workflows. Reach out to learn more!
Ines Chami retweeted
🏆 What a win!! Out of 3,500+ eligible emerging B2B tech companies, @NumbersStnAI has been awarded the #40 spot in Will Reed's Top 100 Class of 2024, built in conjunction with @PitchBook.
#WillReedsTop100
willreedstop100.com/winner40…
Ines Chami retweeted
🎉 Another one in the books! Excited to announce that we are adding @databricks to our expanding ecosystem of performant integrations.
Making it easier than ever to connect your warehouse to Numbers Station and begin querying.
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